基于模糊规则的计算智能数据分析方法

Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI:10.1109/ISUMA.1995.527672

S. Halgamuge, H. Genther, M. Glesner

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引用次数: 6

摘要

概述了一些最近提出的计算智能方法，特别是模糊神经网络，模糊聚类生成的模糊分类器，以及基于进化算法的模糊数据分析方法，并强调了这些方法的具体特征，使它们区别于其他方法。

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Fuzzy rule based data analysis using methods of computational intelligence

A number of recently proposed methods of computational intelligence, specifically fuzzy-neural networks, fuzzy classifiers generated by fuzzy clustering, and fuzzy data analysis methods based on evolutionary algorithms are outlined giving emphasis to the specific characteristic of methods which differentiate them from others.

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Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society

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